Cognee vs Pathway

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Cognee RAG	Pathway RAG
Tagline	Open-source graph-memory layer that gives AI agents persistent, queryable context across sessions.	Live data framework for production RAG and streaming ETL pipelines in Python.
Category	RAG	RAG
Pricing	Freemium· Hobby free (1M tokens/mo); Growth $5/workspace/mo + token usage; Enterprise custom	Freemium· Community free (BSL 1.1, 8GB/4 cores); Scale and Enterprise tiers with license key
Model	Multi-model (Claude, OpenAI, others)	Multi-model
Editorial score	7.2 / 10	7.3 / 10
Use cases	agent-memoryknowledge-graphsragmulti-agent-systemssecond-braincontext-retrieval	live-ragstreaming-etldocument-indexingmultimodal-raganomaly-detection
Pros	Open source and self-hostable with a sizable GitHub community Graph-based memory beats flat vector RAG for entity-heavy domains MCP server makes it easy to plug into Claude Desktop and agent frameworks Generous free tier (1M tokens/month) for experimentation Adapters for warehouses, docs, chats, and APIs out of the box	Genuinely live indexing - documents update without rebuild jobs Self-hosted under BSL 1.1, no data leaves your infra Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake) Same pipeline handles batch and streaming 20+ production-ready templates including multimodal and adaptive RAG
Cons	Graph memory adds operational complexity vs. a plain vector store Still a young product; ontologies and governance features are evolving Token-based pricing on top of LLM costs can compound at scale	Steeper learning curve than prompt-chain frameworks BSL is not OSI-approved - commercial restrictions apply at scale Smaller community than LangChain/LlamaIndex Pricing for Scale/Enterprise tiers not transparent
Website	www.cognee.ai	pathway.com

Pick Cognee if

✅ Open source and self-hostable with a sizable GitHub community
✅ Graph-based memory beats flat vector RAG for entity-heavy domains
✅ MCP server makes it easy to plug into Claude Desktop and agent frameworks
✅ Generous free tier (1M tokens/month) for experimentation

Pick Pathway if

✅ Genuinely live indexing - documents update without rebuild jobs
✅ Self-hosted under BSL 1.1, no data leaves your infra
✅ Rich connector library (Kafka, S3, SharePoint, Postgres, Delta Lake)
✅ Same pipeline handles batch and streaming

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